Does MemoryCrow replace Slack, Notion, GitHub, or Linear?

No. Those tools stay where work happens. MemoryCrow gives you a separate memory layer for the context you explicitly save, import, or connect for recall.

Which AI tools can use the memory?

Claude, Cursor, ChatGPT, and MCP-compatible clients can call MemoryCrow through MCP. Teams can use the same memory from the AI tools where they already ask questions.

How does permission-safe recall work?

Memory is saved with a scope: personal, workspace, or group. Recall filters by that scope before returning facts or citations, so private memory does not become a team answer by accident.

What happens when two sources disagree?

The newer or approved source can supersede the stale one without deleting history. The old fact stays traceable, but it stops becoming the answer.

What if MemoryCrow cannot prove an answer?

It abstains. If there is no relevant stored memory, no current fact, or no allowed scope for the asker, MemoryCrow should return nothing instead of inventing a confident answer.

Can we add more memory without changing plans?

Yes. Workspace plans include monthly memory, and larger imports can use one-time memory packs. Packs add room for backfills, launches, migrations, or other heavy imports.

Do you train models on our data?

No. Your memory is yours. MemoryCrow stores and recalls your workspace context; it does not train foundation models on your company data.

Permission-safe memory for AI

One team memory for every AI

Connect Slack, docs, tickets, and code. Ask from Claude, ChatGPT, or Cursor and get the current answer with citations and permissions intact.

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Cited answers
Scoped access
Works over MCP

Asked from Cursor

MemoryCrow · refreshed 12 minutes ago

Team question

What pricing should sales quote this week?

Quote the new Startup price at $79/month. The change came from the March packaging decision, is live in Stripe, and replaces the older $49 trial note.

[1] Slack decision [2] Stripe config [3] Linear rollout

Current Permission-scoped MCP recall

Cited memory Permission-safe

Pricing and packaging memory

Slack · #pricing-thread UPDATED

Stripe plan config CURRENT

Linear · GTM-482 LINKED

Open cited answer

CONNECTS THE TOOLS TEAMS ALREADY TRUST

Slack

Notion

GitHub

Linear

Claude

ChatGPT

Cursor

Gmail

Google Drive

Sounds familiar?

Your AI has been missing the same context for months.

It is not that your team lacks knowledge. It is that the knowledge is split across Slack, docs, tickets, code, and people. Every AI sees a different slice.

You explain the whole company before the real question

The customer edge cases, launch constraints, architecture decisions, and "why we did that" context all come back as manual setup. By the time the AI can help, you already did half the work.

The old answer keeps sounding authoritative

A decision changed in Slack, but the stale doc still looks official. The AI gives a confident answer, and nobody can tell which source it trusted.

Nobody knows what the AI was allowed to see

Some memory is personal, some belongs to a team, and some is locked down. Without permission-aware recall, every answer carries an invisible access question.

Meet MemoryCrow

Your AI gets the answer and the source.

MemoryCrow turns scattered company context into one current, permission-safe memory layer. It works where your team already works and recalls inside the AI tools they already use.

Slack

Notion

GitHub

Linear

Slack

Notion

GitHub

Linear

Claude

Cursor

ChatGPT MCP

Claude

Cursor

ChatGPT MCP

One memory graph

Memory follows the tools your team already trusts.

Slack decisions, docs, PRs, tickets, and MCP clients become one recall surface without making the team migrate where work happens.

Memory status live

Launch plan Notion spec superseded

Security review promise Slack decision current

Enterprise rollout Linear project scoped

Stale facts retire when newer truth lands.

MemoryCrow keeps provenance and currency together, so answers reflect the latest decision instead of the loudest old note.

Asked from Cursor

permission-safe recall

Verified answer

Promise security review, not certification.

[1] Slack [2] Notion [3] Linear

Every answer comes back scoped and cited.

Claude, ChatGPT, Cursor, and any MCP client get a useful answer only when the asker can see the underlying sources.

How it works

Every answer carries its proof.

MemoryCrow connects the places decisions already happen, resolves which facts are current, and gives AI tools a cited answer only when the requester has the right scope.

Works where decisions happen Slack, docs, repos, tickets, and MCP writes stay the system of record.
Keeps the current version Newer truth supersedes old notes without deleting the history behind them.
Returns only visible proof Answers include the sources the requester is allowed to see.

Asked from Cursor permission-safe recall

Team question

What pricing should sales quote this week?

Quote Startup at $79/month.

MemoryCrow can answer because the current decision, the retired note, and the requester scope are attached to the same memory.

Source trail VISIBLE SOURCES

[1]

Slack #pricing-thread

March decision moved Startup to $79/month.

current

[2]

Notion Pricing notes

The older $49 trial note is retained as history.

superseded

[3]

Linear GTM-482

Sales rollout is visible to this requester.

scoped

If sources are hidden or unresolved, MemoryCrow does not guess.

Use cases

What distributed memory unlocks.

Use MemoryCrow when an AI answer depends on facts scattered across Slack, docs, tickets, repos, email, CRM notes, and permissions. These are the workflows that become safe enough to hand to Claude, ChatGPT, Cursor, and MCP agents.

Decision recall current

Product decision

Workspace invites stay off by default.

Slack decision source

Linear rollout scoped

When product decisions drift across tools

MemoryCrow joins the Slack decision, spec, and rollout ticket so AI answers with the latest policy, not the stale doc.

Account memory

Promise, exception, and next step stay attached.

Scoped note scoped

Discussed does not become promised.

When customer promises live in email and Slack

It keeps commitments, exceptions, risks, and renewal context attached to the account before sales or success replies.

Agent context updated

PR explains the code path

Ticket explains ownership

Thread explains timing

When coding agents need why, not just code

Cursor and Claude can see the PR, incident, ticket, and ship-room context behind a change before editing or explaining it.

Release readiness current

Current rollout state

Fixed, partial, and workaround stay separate.

[1] Slack

[2] GitHub

When support answers during a rollout

It separates fixed, partial, blocked, and workaround states so customer replies match what actually shipped.

Scoped recall restricted

Hidden customer data hidden

Visible policy detail allowed

The answer keeps the same access boundary as the source.

When the answer is permissioned

AI only returns the sources the requester is allowed to see. If proof is hidden or unresolved, MemoryCrow abstains.

GTM memory approved

Approved terms

Pricing, retention, legal

Latest playbook

One source for every GTM answer.

When GTM needs approved language

Pricing, retention, legal terms, positioning, and approval status stay synced across sales, success, support, and docs.

Trust model

If memory cannot prove it, it stays quiet.

MemoryCrow treats abstention as a first-class answer. It checks source, currency, and requester scope before any AI tool gets company context.

Memory recall policy answer only with proof

Support asks from Cursor

Can we tell customers imports are fixed?

Source visible GitHub PR #842 and Slack rollout thread cited

Version current Old runbook kept as history, not quoted current

Requester scoped Support can see the sources behind the answer allowed

Answer returned

Only CSV imports are fixed.

Citations point to GitHub and the rollout thread. The old runbook is still remembered, but it is not the current answer.

Answer withheld

What renewal discount did Northstar get?

Account terms exist, but they are outside this requester's scope. MemoryCrow says it cannot answer instead of leaking the source or guessing.

People only Finance only

Cited answers, not loose claims

Current facts, not stale notes

Scoped recall, not broad access

No migration

Keep your tools. Add shared memory.

MemoryCrow does not ask the team to move knowledge into another wiki. It connects to the systems already carrying decisions, then makes that memory available inside the AI tools the team already uses.

SOURCES

stay in place

Slack decisions

Notion specs

GitHub PRs

Linear tickets

MemoryCrow

one permission-safe memory layer

Source where it came from

Version what is current

Scope who can recall it

RECALL

MCP-ready

Cursor coding agents

Claude team questions

ChatGPT daily recall

MCP clients any surface

Connect the systems Start with the places decisions already happen. Slack, docs, repos, tickets, and email stay where they are.

Keep the metadata MemoryCrow stores the source trail, current version, and permission scope with the memory itself.

Recall inside AI tools Claude, ChatGPT, Cursor, and MCP clients get the answer only when the proof can travel with it.

FAQ

Questions teams ask before they trust shared memory.

Short answers on billing, permissions, source handling, and how MemoryCrow fits around the tools your team already uses.

A memory is a fact, decision, note, or handoff you save so an AI can recall it later with its source attached. Plans meter stored memory; asking questions is recall.

Start with one memory

Give every AI the same trusted memory.

Start the trial, connect one source, and ask the next question from Claude, ChatGPT, Cursor, or any MCP client. If MemoryCrow cannot prove it, it will not guess.

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7-day trial
Unlimited recall
Permission-safe by default

MemoryCrow answered

current, cited, and scoped

READY

Team question

What should support say about workspace invites?

Keep invite links off by default.

Enterprise workspaces can enable domain join after admin approval. The answer comes from the latest rollout note and the requester can see both sources.

Source trail VISIBLE TO ASKER

[1]Slack rollout thread CURRENT

[2]Notion admin policy SCOPED

The answer, source, and scope travel together.

One team memory for every AI

What pricing should sales quote this week?

Your AI has been missing the same context for months.

You explain the whole company before the real question

The old answer keeps sounding authoritative

Nobody knows what the AI was allowed to see

Your AI gets the answer and the source.

Memory follows the tools your team already trusts.

Stale facts retire when newer truth lands.

Every answer comes back scoped and cited.

Every answer carries its proof.

What distributed memory unlocks.

When product decisions drift across tools

When customer promises live in email and Slack

When coding agents need why, not just code

When support answers during a rollout

When the answer is permissioned

When GTM needs approved language

If memory cannot prove it, it stays quiet.

Keep your tools. Add shared memory.

Questions teams ask before they trust shared memory.

What counts as a memory?

Does MemoryCrow replace Slack, Notion, GitHub, or Linear?

Which AI tools can use the memory?

How does permission-safe recall work?

What happens when two sources disagree?

What if MemoryCrow cannot prove an answer?

Can we add more memory without changing plans?

Do you train models on our data?

Give every AI the same trusted memory.